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Testing forward exchange rate unbiasedness efficiently: a semiparametric approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Douglas J. Hodgson (University of Quebec at Montreal - Department of Economics )
Oliver Linton (London School of Economics & Political Science - Department of Economics )
Keith Vorkink (Brigham Young University )
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We apply semiparametric efficient estimation procedures for a seemingly unrelated regression model where the multivariate error density is elliptically symmetric to study the efficiency of the foreign exchange market. We consider both cointegrating regressions and standard stationary regressions. The elliptical symmetry assumption allows us to avoid the curse of dimensionality problem that typically arises in multivariate semiparametric estimation procedures, because the multivariate elliptically symmetric density function can be written as a function of a scalar transformation of the observed multivariate data. We test the unbiasedness hypothesis on both weekly and daily exchange rate data and strongly reject unbiasedness at the weekly horizon, but fail to reject the unbiasedness hypothesis on the daily data. Estimates of the semiparametric procedure in some cases differ substantially from traditional OLS estimates.
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Article provided by Universidad del CEMA in its journal Journal of Applied Economics .
Volume (Year): VII (2004)
Issue (Month): (November)
Pages: 325-353
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Keywords: forward exchange market ; time series econometrics ; nonparametric statistics ; Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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